shubhampachori12110095 Goto Github PK
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Name: Shubham Pachori
Type: User
Bio: Learning to extract signal from noise.
Location: Somewhere in India
Image segmentation with keras. FCN, Unet, DeepLab V3 plus, Mask RCNN ... etc.
Transform one image to another image in Keras using GAN
The Inception-ResNet v2 model using Keras (with weight files)
Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)
Implementation of IndRNN in Keras
Optimize layers structure of Keras model to reduce computation time
Run Keras models in the browser, with GPU support using WebGL
Keras implementation of [The unreasonable effectiveness of the forget gate](https://arxiv.org/abs/1804.04849)
Keras Interface for Kaldi ASR
:book: Some language modeling tools for Keras
Keras implementation of MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks
Simple Generative Adversarial Networks for MNIST data with Keras.
For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.
Google MobileNet implementation with Keras
Autoencoder network for learning a continuous representation of molecular structures.
A set of Jupyter notebooks demonstrating collaborative filtering using matrix factorization with Keras.
Miltiplicative LSTM for Keras 2.0+
Accelerating Deep Learning with Multiprocess Image Augmentation in Keras
"NASNet" models in Keras 2.0+ with weights
Neural Tensor Network Implementation as a keras layer
Keras implementation of Non-local Neural Networks
A simple wrapper over keras object detection libraries and provide web api using flask
Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)
koch et al, Siamese Networks for one-shot learning, (mostly) reimplimented in keras
Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version
Ordered Neurons LSTM
A project template to simplify building and training deep learning models using Keras.
Question answering system developed using seq2seq and memory network model in Keras
A Keras model that addresses the Quora Question Pairs dyadic prediction task.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.